1. Shodhganga@INFLIBNET
  2. Sri Padmavathi Womens University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/564031
Full metadata record
DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-05-10T13:06:43Z-
dc.date.available2024-05-10T13:06:43Z-
dc.identifier.urihttp://hdl.handle.net/10603/564031-
dc.format.extent345
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEfficient Classification models to identify the Foetal organs from Ultra sound Doppler Scan Images using deep learning techniques
dc.title.alternative
dc.creator.researcherSandhya Kumari, S
dc.subject.keywordImmunology
dc.subject.keywordLife Sciences
dc.subject.keywordTransplantation
dc.description.note
dc.contributor.guideSandhya Rani, K
dc.publisher.placeTirupati
dc.publisher.universitySri Padmavathi Womens University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2017
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions34
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01_title.pdf.pdfAttached File280.81 kBAdobe PDFView/Open
03_contents.pdf.pdf11.17 kBAdobe PDFView/Open
05_chapter1.pdf.pdf386.45 kBAdobe PDFView/Open
07_chapter3.pdf.pdf2.36 MBAdobe PDFView/Open
08_chapter4.pdf.pdf4.84 MBAdobe PDFView/Open
09_chapter5.pdf.pdf2.87 MBAdobe PDFView/Open
10_chapter6.pdf.pdf1.28 MBAdobe PDFView/Open
11_chapter7.pdf.pdf20.39 kBAdobe PDFView/Open
12_annexures.pdf.pdf119.76 kBAdobe PDFView/Open
80_recommendation.pdf300.81 kBAdobe PDFView/Open
Show simple item record


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: